Subband image coding using block-zero tree coding and vector quantization

Author

Park, Sahng H. ; Moon, Hyeon J. ; Nasrabadi, Nasser M.

Author_Institution

Dept. of Electr. & Comput. Eng., State Univ. of New York, Buffalo, NY, USA

Volume

4

fYear

1996

fDate

7-10 May 1996

Firstpage

2052

Abstract

The need for developing effective coding techniques for various multimedia services is increasing in order to meet the demand for image and video data. In this paper, a block-zero tree coding (BZTC) algorithm is proposed for multilayer coding and progressive transmission of images. The BZTC algorithm is constructed as an embedded coding so that the encoding and decoding process can be terminated at any point and allowing reasonable image quality. Some features of our BZTC algorithm are (1) prediction of the significance of blocks across scale, (2) state transition rules for representing the significance block map, and (3) block coding by vector quantization using a multiband codebook consisting of several subcodebooks dedicated for each band at a given threshold

Keywords

image coding; multimedia communication; trees (mathematics); vector quantisation; BZTC algorithm; block coding; block-zero tree coding algorithm; decoding; embedded coding; encoding; image data; image quality; multiband codebook; multimedia services; significance block map; state transition rules; subband image coding; subcodebooks; threshold; vector quantization; video data; Bit rate; Data engineering; Image coding; Image quality; Moon; Nonhomogeneous media; Prediction algorithms; Rate distortion theory; Vector quantization; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.545721

Filename

545721